Pandas format column as currency

Question

Given the following data frame:

import pandas as pd
df = pd.DataFrame(
        {'A':['A','B','C','D'],
         'C':[12355.00,12555.67,640.00,7000]
        })
df

    A   C
0   A   12355.00
1   B   12555.67
2   C   640.00
3   D   7000.00

I’d like to convert the values to dollars in thousands of USD like this:

    A   C
0   A   $12.3K
1   B   $12.5K
2   C    $0.6K
3   D    $7.0K

The second thing I need to do is somehow get these into a Seaborn heat map, which only accepts floats and integers. See here for more on the heat map aspect.

I’m assuming once the floats are converted to currency, they will be in object format but I’m hoping there’s a way around that.

Asked By: Dance Party2

||

Source

Answer 1

    def format(x):
        return "${:.1f}K".format(x/1000)


    df = pd.DataFrame(
        {'A':['A','B','C','D'],
         'C':[12355.00,12555.67,640.00,7000]
        })

    df['C'] = df['C'].apply(format)

    print(df)

Answered By: chenhong

Answer 2

Or you could use a lambda function for shorter syntax

df['C'] = df['C'].apply(lambda x: "${:.1f}k".format((x/1000)))

Answered By: Jace Whitmer

Answer 3

Or you could use a lambda function and f-string for even shorter shorter syntax

df['C'] = df['C'].map(lambda x: f"${x/1000:.1f}k")

Answered By: chakuRak

Answer 4

`Flexibile formatting using Babel`

If you are looking for a flexible way of formatting currency’s and numbers for different locale’s, I suggest using Babel:

Example data

df = pd.DataFrame(
        {'A':['A','B','C','D'],
         'C':[12355.00,12555.67,640.00,7000]
        })
print(df)

   A         C
0  A  12355.00
1  B  12555.67
2  C    640.00
3  D   7000.00

Formatting dollar currency:

from babel.numbers import format_currency

df["C"] = df["C"].apply(lambda x: format_currency(x, currency="USD", locale="en_US"))

   A           C
0  A  $12,355.00
1  B  $12,555.67
2  C     $640.00
3  D   $7,000.00

Formatting euro currency (notice the difference in thousands and decimal seperator):

df["C"] = df["C"].apply(lambda x: format_currency(x, currency="EUR", locale="nl_NL"))

   A            C
0  A  € 12.355,00
1  B  € 12.555,67
2  C     € 640,00
3  D   € 7.000,00

Answered By: Erfan

Pandas format column as currency

Question:

Answers:

`Flexibile formatting using Babel`